Abstract: Consensus building is supported by providing multiple values to a consensus building process with good visibility. A consensus building support system includes: a graph generation unit configured to generate a ternary graph based on options regarding ternary values; an acquisition unit configured to acquire at least one of individual opinions about the options or a group opinion which is an aggregation of a plurality of individual opinions; and a display unit configured to display, on the ternary graph, a triangle formed by three line segments indicating the individual opinions or the group opinions regarding each of the ternary values by indicating each of the individual opinions or the group opinions regarding the ternary values with one line segment.

Abstract: A consensus building support device includes: a processor configured to execute a program; and a storage device configured to store the program, wherein the processor is configured to execute: acquisition processing of acquiring, for each of a plurality of evaluation indices with which a measure draft is evaluated, a numerical value range that is set for the evaluation index by each of a plurality of users; identification processing of identifying an overlap range in which a plurality of numerical value ranges that are each the numerical value range acquired for each of the plurality of evaluation indices through the acquisition processing overlap; and output processing of outputting the overlap range identified through the identification processing.

Abstract: An equipment failure prediction system includes an equipment failure prediction device and smart meters which are all connectable to a network, and a transformer that provides information to the smart meters. The smart meters transmit quantitative data to the equipment failure prediction device through the network, the quantitative data obtained by quantifying the information provided by the transformer. The equipment failure prediction device accumulates the transmitted quantitative data in a database and predicts occurrence of failure in the transformer by using a statistic calculated from the quantitative data accumulated in the database.